Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
six_viruses is a virus	1111	06-jul-2018	97.6
pork_tenderloin_roast is a type of meat	1111	06-jul-2018	99.9
em_poker_events is a sporting event	1111	06-jul-2018	100.0
wkqw is a radio station	1111	06-jul-2018	96.9
founder_capacity is a character trait	1111	06-jul-2018	99.6
hounslow is a park in the city central_london	1116	12-sep-2018	100.0
dow_jones001 has acquired factiva	1112	24-jul-2018	93.8
youtube is a company in the economic sector of media	1111	06-jul-2018	100.0
lawrence_ellison is the CEO of oracle	1116	12-sep-2018	100.0
huntington_park is a generalization of temple_of_the_reclining_buddha	1115	03-sep-2018	100.0